571 search results - page 14 / 115 » Incremental Support Vector Machine Learning: A Local Approac... |
IJISTA
2007
13 years 7 months ago
2007
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
PR
2010
13 years 5 months ago
2010
Selecting relevant features for Support Vector Machine (SVM) classifiers is important for a variety of reasons such as generalization performance, computational efficiency, and ...
KDD
2000
ACM
13 years 11 months ago
2000
ACM
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
ICML
2006
IEEE
14 years 1 months ago
2006
IEEE
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...
NIPS
1998
13 years 8 months ago
1998
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...